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15.761 Operations Management (MIT) 15.761 Operations Management (MIT)

Description

This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain Management This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain Management

Subjects

manufacturing | manufacturing | service | service | analyzing operations | analyzing operations | operational decisions | operational decisions | operations analysis | operations analysis | quality management | quality management | project management | project management | logistics | logistics | supply chain management | supply chain management | job shop operations | job shop operations | process matching | process matching | queuing | queuing | forecasting | forecasting | queueing | queueing | analysis | analysis | analyzing | analyzing | operations | operations | coordination | coordination | planning | planning | quality | quality | project | project | management | management | supply chain | supply chain | job shop | job shop | decisions | decisions | decision making | decision making | operational | operational | design | design | control | control | materials | materials | production | production | scheduling | scheduling | reengineering | reengineering | capacity | capacity | facilities | facilities | strategy | strategy | process | process | processes | processes | matching | matching | inventory | inventory | vendor | vendor | customer | customer

License

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15.764 The Theory of Operations Management (MIT) 15.764 The Theory of Operations Management (MIT)

Description

The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models. This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class. The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models. This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class.

Subjects

operations management | operations management | customer-focused operation systems | customer-focused operation systems | customer focus | customer focus | direct-to-consumer business model | direct-to-consumer business model | life-cycle management | life-cycle management | customer-driven operations | customer-driven operations | operational practices | operational practices | distribution systems | distribution systems | customer choice models | customer choice models | assemble-to-order production systems | assemble-to-order production systems | customer service centers | customer service centers | forecast evolution models | forecast evolution models | warehouse systems | warehouse systems | inventory policies | inventory policies | procurement | procurement | managing customer relationships | managing customer relationships | consumer behavior | consumer behavior | short life-cycle production management | short life-cycle production management

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.225J Transportation Flow Systems (MIT) 1.225J Transportation Flow Systems (MIT)

Description

Design, operation, and management of traffic flows over complex transportation networks are the foci of this course. It covers two major topics: traffic flow modeling and traffic flow operations. Sub-topics include deterministic and probabilistic models, elements of queuing theory, and traffic assignment. Concepts are illustrated through various applications and case studies. This is a half-term subject offered during the second half of the semester. Design, operation, and management of traffic flows over complex transportation networks are the foci of this course. It covers two major topics: traffic flow modeling and traffic flow operations. Sub-topics include deterministic and probabilistic models, elements of queuing theory, and traffic assignment. Concepts are illustrated through various applications and case studies. This is a half-term subject offered during the second half of the semester.

Subjects

transportation | transportation | transportation flow systems | transportation flow systems | traffic | traffic | traffic flow | traffic flow | networks | networks | transportation networks | transportation networks | flow modeling | flow modeling | flow operations | flow operations | deteministic models | deteministic models | probabilistic models | probabilistic models | queuing theory | queuing theory | queues | queues | traffic assignment | traffic assignment | case studies | case studies | cumulative plots | cumulative plots | airport runway capacity | airport runway capacity | runway capacity | runway capacity | road traffic | road traffic | shortest paths | shortest paths | optimizations | optimizations | highway control | highway control | ramp metering | ramp metering | simulation models | simulation models | isolated signals | isolated signals | operations | operations | operational problems | operational problems | air traffic operation | air traffic operation | air | air | road | road | component | component | 1.225 | 1.225 | ESD.205 | ESD.205

License

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15.768 Management of Services: Concepts, Design, and Delivery (MIT) 15.768 Management of Services: Concepts, Design, and Delivery (MIT)

Description

15.768 Management of Services: Concepts, Design, and Delivery explores the use of operations tools and perspectives in the service sector, including both for-profit and not-for-profit organizations. The course builds on conceptual frameworks and cases from a wide range of service operations, selected from health care, hospitality, internet services, supply chain, transportation, retailing, food service, entertainment, financial services, humanitarian services, government services, and others. 15.768 Management of Services: Concepts, Design, and Delivery explores the use of operations tools and perspectives in the service sector, including both for-profit and not-for-profit organizations. The course builds on conceptual frameworks and cases from a wide range of service operations, selected from health care, hospitality, internet services, supply chain, transportation, retailing, food service, entertainment, financial services, humanitarian services, government services, and others.

Subjects

operations management | operations management | service sector | service sector | case studies | case studies | operations strategy | operations strategy | process design | process design | service models | service models | operations frameworks | operations frameworks | retailing | retailing | data mining | data mining | disruptive models | disruptive models | supply chain | supply chain | organizational change | organizational change

License

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17.482 U.S. Military Power (MIT) 17.482 U.S. Military Power (MIT)

Description

The purpose of this course is to acquaint the student with the missions, capabilities, and costs of the largely non-nuclear forces that make up the bulk of the U.S. military establishment. The course will also introduce the student to basic techniques for the assessment of relative military capabilities between adversaries in given theaters of military action. Central to the course will be an examination of historical cases of military action that shed light on current defence issues. Many of these cases are recent. The purpose of this course is to acquaint the student with the missions, capabilities, and costs of the largely non-nuclear forces that make up the bulk of the U.S. military establishment. The course will also introduce the student to basic techniques for the assessment of relative military capabilities between adversaries in given theaters of military action. Central to the course will be an examination of historical cases of military action that shed light on current defence issues. Many of these cases are recent.

Subjects

united states | united states | us military | us military | military | military | non-nuclear | non-nuclear | adversaries | adversaries | military action | military action | defense | defense | strategy | strategy | campaign analysis | campaign analysis | airpower | airpower | battle of the bulge | battle of the bulge | intelligence | intelligence | military operations | military operations | naval power | naval power | power projection | power projection | guadalcanal | guadalcanal | desert storm | desert storm | operation iraqi freedom | operation iraqi freedom | afghanistan | iraq | afghanistan | iraq | counter-insurgency | counter-insurgency | humanitarian military intervention | humanitarian military intervention | kosovo | nuclear age | kosovo | nuclear age | nuclear proliferation | nuclear proliferation | american defense planning | american defense planning | ground campaign | ground campaign | air campaign | air campaign | missile targeting | missile targeting | logistics-centric | logistics-centric | limited war | limited war | surface warfare | surface warfare | anti-submarine warfare | anti-submarine warfare | israel/lebanon war | israel/lebanon war | operation allied force | operation allied force | libya | libya

License

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15.761 Operations Management (MIT)

Description

This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain Management

Subjects

manufacturing | service | analyzing operations | operational decisions | operations analysis | quality management | project management | logistics | supply chain management | job shop operations | process matching | queuing | forecasting | queueing | analysis | analyzing | operations | coordination | planning | quality | project | management | supply chain | job shop | decisions | decision making | operational | design | control | materials | production | scheduling | reengineering | capacity | facilities | strategy | process | processes | matching | inventory | vendor | customer

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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12.990 Prediction and Predictability in the Atmosphere and Oceans (MIT) 12.990 Prediction and Predictability in the Atmosphere and Oceans (MIT)

Description

Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems. Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems.

Subjects

Forecasting | Forecasting | model validation | model validation | prediction quality | prediction quality | operational atmosphere and ocean forecasting systems | operational atmosphere and ocean forecasting systems | limiting factors | limiting factors | prediction | prediction | operational atmosphere forecasting systems | operational atmosphere forecasting systems | ocean forecasting systems | ocean forecasting systems | chaos | chaos | probabilistic forecasting | probabilistic forecasting | data assimilation | data assimilation | adaptive observations | adaptive observations | model error | model error | attractors | attractors | dimensions | dimensions | sensitive dependence | sensitive dependence | initial conditions | initial conditions

License

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6.050J Information and Entropy (MIT) 6.050J Information and Entropy (MIT)

Description

Includes audio/video content: AV selected lectures. This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics. Includes audio/video content: AV selected lectures. This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics.

Subjects

information and entropy | information and entropy | computing | computing | communications | communications | thermodynamics | thermodynamics | digital signals and streams | digital signals and streams | codes | codes | compression | compression | noise | noise | probability | probability | reversible operations | reversible operations | irreversible operations | irreversible operations | information in biological systems | information in biological systems | channel capacity | channel capacity | maximum-entropy formalism | maximum-entropy formalism | thermodynamic equilibrium | thermodynamic equilibrium | temperature | temperature | second law of thermodynamics quantum computation | second law of thermodynamics quantum computation

License

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3.016 Mathematics for Materials Scientists and Engineers (MIT) 3.016 Mathematics for Materials Scientists and Engineers (MIT)

Description

This course covers the mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from the materials science and engineering core courses (3.012 and 3.014) to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigenvalues and eigenvectors, quadratic forms, tensor operations, symmetry operations, calculus of several variables, introduction to complex analysis, ordinary and partial differential equations, theory of distributions, and fourier analysis. Users may find additional or updated materials at Professor C This course covers the mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from the materials science and engineering core courses (3.012 and 3.014) to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigenvalues and eigenvectors, quadratic forms, tensor operations, symmetry operations, calculus of several variables, introduction to complex analysis, ordinary and partial differential equations, theory of distributions, and fourier analysis. Users may find additional or updated materials at Professor C

Subjects

energetics | energetics | visualization | visualization | graph | graph | plot | plot | chart | chart | materials science | materials science | DMSE | DMSE | structure | structure | symmetry | symmetry | mechanics | mechanics | physicss | physicss | solids and soft materials | solids and soft materials | linear algebra | linear algebra | orthonormal basis | orthonormal basis | eigenvalue | eigenvalue | eigenvector | eigenvector | quadratic form | quadratic form | tensor operation | tensor operation | symmetry operation | symmetry operation | calculus | calculus | complex analysis | complex analysis | differential equations | differential equations | ODE | ODE | solution | solution | vector | vector | matrix | matrix | determinant | determinant | theory of distributions | theory of distributions | fourier analysis | fourier analysis | random walk | random walk | Mathematica | Mathematica | simulation | simulation

License

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15.764 The Theory of Operations Management (MIT)

Description

The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models. This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class.

Subjects

operations management | customer-focused operation systems | customer focus | direct-to-consumer business model | life-cycle management | customer-driven operations | operational practices | distribution systems | customer choice models | assemble-to-order production systems | customer service centers | forecast evolution models | warehouse systems | inventory policies | procurement | managing customer relationships | consumer behavior | short life-cycle production management

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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1.223J Transportation Policy, Strategy, and Management (MIT) 1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization. This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | public transportation systems | pollution | pollution | infrastructure | infrastructure | government regulation | government regulation | public policy | public policy | strategic planning management | strategic planning management | labor relations | labor relations | maintenance planning | maintenance planning | administration | administration | financing | financing | marketing policy | marketing policy | fare policy | fare policy | management information | management information | decision support systems | decision support systems | transit industry | transit industry | service provision | service provision | private sector | private sector | alternative models of decision-making | alternative models of decision-making | strategic planning | strategic planning | stakeholder valuation and analysis | stakeholder valuation and analysis | government-based regulation and cooperation | government-based regulation and cooperation | transportation enterprise | transportation enterprise | disaster communications | disaster communications | systems safety | systems safety | change management | change management | and the impact of globalization | and the impact of globalization | the impact of globalization | the impact of globalization | 1.223 | 1.223 | ESD.203 | ESD.203

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ESD.260J Logistics Systems (MIT) ESD.260J Logistics Systems (MIT)

Description

This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp

Subjects

Logistics systems | Logistics systems | Supply chain management | Supply chain management | Demand planning | Demand planning | Procurement | Procurement | Inventory | Inventory | Transportation planning | Transportation planning | Reverse logistics | Reverse logistics | Flexible contracting | Flexible contracting | Postponement | Postponement | Portfolio management | Portfolio management | Dual sourcing | Dual sourcing | demand forecasting tools | demand forecasting tools | inventory control algorithms | inventory control algorithms | transportation operations | transportation operations | vehicle routing | vehicle routing | scheduling | scheduling | fleet dispatching algorithms | fleet dispatching algorithms | optimization | optimization | transportation carrier operations | transportation carrier operations | supply chain network design | supply chain network design | procurement | procurement | sourcing | sourcing | auctions | auctions | supply contracts | supply contracts | collaboration | collaboration | supply chain uncertainty | supply chain uncertainty | ESD.260 | ESD.260 | 1.260 | 1.260 | 15.770 | 15.770

License

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3.016 Mathematics for Materials Scientists and Engineers (MIT) 3.016 Mathematics for Materials Scientists and Engineers (MIT)

Description

The class will cover mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from 3.012 to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigenvalues and eigenvectors, quadratic forms, tensor operations, symmetry operations, calculus of several variables, introduction to complex analysis, ordinary and partial differential equations, theory of distributions, fourier analysis and random walks.Technical RequirementsMathematica® software is required to run the .nb files found on this course site. The class will cover mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from 3.012 to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigenvalues and eigenvectors, quadratic forms, tensor operations, symmetry operations, calculus of several variables, introduction to complex analysis, ordinary and partial differential equations, theory of distributions, fourier analysis and random walks.Technical RequirementsMathematica® software is required to run the .nb files found on this course site.

Subjects

energetics | energetics | materials structure and symmetry: applied fields | materials structure and symmetry: applied fields | mechanics and physics of solids and soft materials | mechanics and physics of solids and soft materials | linear algebra | linear algebra | orthonormal basis | orthonormal basis | eigenvalues | eigenvalues | eigenvectors | eigenvectors | quadratic forms | quadratic forms | tensor operations | tensor operations | symmetry operations | symmetry operations | calculus | calculus | complex analysis | complex analysis | differential equations | differential equations | theory of distributions | theory of distributions | fourier analysis | fourier analysis | random walks | random walks | mathematical technicques | mathematical technicques | materials science | materials science | materials engineering | materials engineering | materials structure | materials structure | symmetry | symmetry | applied fields | applied fields | materials response | materials response | solids mechanics | solids mechanics | solids physics | solids physics | soft materials | soft materials | multi-variable calculus | multi-variable calculus | ordinary differential equations | ordinary differential equations | partial differential equations | partial differential equations | applied mathematics | applied mathematics | mathematical techniques | mathematical techniques

License

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15.997 Advanced Corporate Risk Management (MIT) 15.997 Advanced Corporate Risk Management (MIT)

Description

This is a course on how corporations make use of the insights and tools of risk management. Most courses on derivatives, futures and options, and financial engineering are taught from the viewpoint of investment bankers and traders in the securities. This course is taught from the point of view of the manufacturing corporation, the utility, the software firm — any potential end-user of derivatives, but not the dealer. Among the topics we will discuss are how companies manage risk, instruments for hedging, liability management and organization, governance and control. This is a course on how corporations make use of the insights and tools of risk management. Most courses on derivatives, futures and options, and financial engineering are taught from the viewpoint of investment bankers and traders in the securities. This course is taught from the point of view of the manufacturing corporation, the utility, the software firm — any potential end-user of derivatives, but not the dealer. Among the topics we will discuss are how companies manage risk, instruments for hedging, liability management and organization, governance and control.

Subjects

advanced corporate risk management | advanced corporate risk management | derivatives | futures and options | derivatives | futures and options | financial engineering | financial engineering | corporations | corporations | risk management | risk management | pricing models | pricing models | operations | operations | real assets | real assets | core strategy | core strategy | trading operations | trading operations | contracts | contracts | hedging | hedging | corporate governance | corporate governance | shareholders | shareholders | valuation | valuation | liability management | liability management

License

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16.410 Principles of Autonomy and Decision Making (MIT) 16.410 Principles of Autonomy and Decision Making (MIT)

Description

This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information

Subjects

autonomy | autonomy | decision | decision | decision-making | decision-making | reasoning | reasoning | optimization | optimization | autonomous | autonomous | autonomous systems | autonomous systems | decision support | decision support | algorithms | algorithms | artificial intelligence | artificial intelligence | a.i. | a.i. | operations | operations | operations research | operations research | logic | logic | deduction | deduction | heuristic search | heuristic search | constraint-based search | constraint-based search | model-based reasoning | model-based reasoning | planning | planning | execution | execution | uncertainty | uncertainty | machine learning | machine learning | linear programming | linear programming | dynamic programming | dynamic programming | integer programming | integer programming | network optimization | network optimization | decision analysis | decision analysis | decision theoretic planning | decision theoretic planning | Markov decision process | Markov decision process | scheme | scheme | propositional logic | propositional logic | constraints | constraints | Markov processes | Markov processes | computational performance | computational performance | satisfaction | satisfaction | learning algorithms | learning algorithms | system state | system state | state | state | search treees | search treees | plan spaces | plan spaces | model theory | model theory | decision trees | decision trees | function approximators | function approximators | optimization algorithms | optimization algorithms | limitations | limitations | tradeoffs | tradeoffs | search and reasoning | search and reasoning | game tree search | game tree search | local stochastic search | local stochastic search | stochastic | stochastic | genetic algorithms | genetic algorithms | constraint satisfaction | constraint satisfaction | propositional inference | propositional inference | rule-based systems | rule-based systems | rule-based | rule-based | model-based diagnosis | model-based diagnosis | neural nets | neural nets | reinforcement learning | reinforcement learning | web-based | web-based | search trees | search trees

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.691 Seminar in Electric Power Systems (MIT) 6.691 Seminar in Electric Power Systems (MIT)

Description

This course comprises of a seminar on planning and operation of modern electric power systems. Content varies with current interests of instructor and class; emphasis on engineering aspects, but economic issues may be examined too. Core topics include: overview of power system structure and operation; representation of components, including transmission lines, transformers, generating plants, loads; power flow analysis, dynamics and control of multimachine systems, steady-state and transient stability, system protection; economic dispatch; mobile and isolated power systems; computation and simulation. This course comprises of a seminar on planning and operation of modern electric power systems. Content varies with current interests of instructor and class; emphasis on engineering aspects, but economic issues may be examined too. Core topics include: overview of power system structure and operation; representation of components, including transmission lines, transformers, generating plants, loads; power flow analysis, dynamics and control of multimachine systems, steady-state and transient stability, system protection; economic dispatch; mobile and isolated power systems; computation and simulation.

Subjects

Planning and operation of modern electric power systems | Planning and operation of modern electric power systems | engineering aspects | engineering aspects | power system structure and operation | power system structure and operation | representation of components | representation of components | transmission lines | transmission lines | transformers | transformers | generating plants | generating plants | loads | loads | power flow analysis | power flow analysis | dynamics and control of multimachine systems | dynamics and control of multimachine systems | steady-state and transient stability | steady-state and transient stability | system protection | system protection | economic dispatch | economic dispatch | mobil and isolated power systems | mobil and isolated power systems | computation and simulation | computation and simulation

License

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15.764 The Theory of Operations Management (MIT)

Description

The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models. This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class.

Subjects

operations management | customer-focused operation systems | customer focus | direct-to-consumer business model | life-cycle management | customer-driven operations | operational practices | distribution systems | customer choice models | assemble-to-order production systems | customer service centers | forecast evolution models | warehouse systems | inventory policies | procurement | managing customer relationships | consumer behavior | short life-cycle production management

License

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15.760B Introduction to Operations Management (MIT) 15.760B Introduction to Operations Management (MIT)

Description

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise. This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

Subjects

operations management | operations management | service operations | service operations | manufacturing design | manufacturing design | manufacturing planning | manufacturing planning | production control | production control | quality management | quality management | process design | process design | reengineering | reengineering | product development | product development | project management | project management | supply chain design | supply chain design | improving manufacturing processes | improving manufacturing processes | capacity | capacity | inventory | inventory | quality control | quality control | product design | product design | factory management | factory management

License

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1.223J Transportation Policy, Strategy, and Management (MIT) 1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization. This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | public transportation systems | pollution | pollution | infrastructure | infrastructure | government regulation | government regulation | public policy | public policy | strategic planning management | strategic planning management | labor relations | labor relations | maintenance planning | maintenance planning | administration | administration | financing | financing | marketing policy | marketing policy | fare policy | fare policy | management information | management information | decision support systems | decision support systems | transit industry | transit industry | service provision | service provision | private sector | private sector | alternative models of decision-making | alternative models of decision-making | strategic planning | strategic planning | stakeholder valuation and analysis | stakeholder valuation and analysis | government-based regulation and cooperation | government-based regulation and cooperation | transportation enterprise | transportation enterprise | disaster communications | disaster communications | systems safety | systems safety | change management | change management | and the impact of globalization | and the impact of globalization | the impact of globalization | the impact of globalization | 1.223 | 1.223 | ESD.203 | ESD.203

License

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15.063 Communicating With Data (MIT) 15.063 Communicating With Data (MIT)

Description

Communicating With Data has a distinctive structure and content, combining fundamental quantitative techniques of using data to make informed management decisions with illustrations of how real decision makers, even highly trained professionals, fall prey to errors and biases in their understanding. We present the fundamental concepts underlying the quantitative techniques as a way of thinking, not just a way of calculating, in order to enhance decision-making skills. Rather than survey all of the techniques of management science, we stress those fundamental concepts and tools that we believe are most important for the practical analysis of management decisions, presenting the material as much as possible in the context of realistic business situations from a variety of settings. Exer Communicating With Data has a distinctive structure and content, combining fundamental quantitative techniques of using data to make informed management decisions with illustrations of how real decision makers, even highly trained professionals, fall prey to errors and biases in their understanding. We present the fundamental concepts underlying the quantitative techniques as a way of thinking, not just a way of calculating, in order to enhance decision-making skills. Rather than survey all of the techniques of management science, we stress those fundamental concepts and tools that we believe are most important for the practical analysis of management decisions, presenting the material as much as possible in the context of realistic business situations from a variety of settings. Exer

Subjects

quantitative | quantitative | data analysis | data analysis | graphs | graphs | charts | charts | factual decisions | factual decisions | statistics | statistics | communication | communication | fact-based | fact-based | information analysis | information analysis | spreadsheets | spreadsheets | models | models | probability | probability | decision analysis | decision analysis | regression | regression | simulation | simulation | linear | linear | nonlinear | nonlinear | optimization | optimization | data | data | analysis | analysis | marketing | marketing | finance | finance | operations management | operations management | strategy | strategy | operations | operations | management | management | diagrams | diagrams | formula | formula | structure | structure | content | content

License

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1.224J Carrier Systems (MIT) 1.224J Carrier Systems (MIT)

Description

Carrier systems involve the design, operation and management of transportation networks, assets, personnel, freight and passengers. In this course, we will present models and tools for analyzing, optimizing, planning, managing and controlling carrier systems. Carrier systems involve the design, operation and management of transportation networks, assets, personnel, freight and passengers. In this course, we will present models and tools for analyzing, optimizing, planning, managing and controlling carrier systems.

Subjects

carrier systems | carrier systems | design | design | operation | operation | management | management | personnel | personnel | freight and passengers | freight and passengers | models and tools for analyzing | models and tools for analyzing | optimization | optimization | planning | planning | managing and controlling | managing and controlling | transportation networks | transportation networks | assets | assets | freight | freight | passengers | passengers | models | models | tools | tools | analyzing | analyzing | optimizing | optimizing | managing | managing | controlling | controlling | linear programming | linear programming | software | software | integer programming | integer programming | direct transportation | direct transportation | procurement | procurement | transit vehicle scheduling | transit vehicle scheduling | transit crew scheduling | transit crew scheduling | airline routing | airline routing | real-time operations control | real-time operations control | freight transportation | freight transportation | analysis | analysis | plans | plans | control | control | designing | designing | 1.224 | 1.224 | ESD.204 | ESD.204

License

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16.410 Principles of Autonomy and Decision Making (MIT) 16.410 Principles of Autonomy and Decision Making (MIT)

Description

This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information

Subjects

autonomy | autonomy | decision | decision | decision-making | decision-making | reasoning | reasoning | optimization | optimization | autonomous | autonomous | autonomous systems | autonomous systems | decision support | decision support | algorithms | algorithms | artificial intelligence | artificial intelligence | a.i. | a.i. | operations | operations | operations research | operations research | logic | logic | deduction | deduction | heuristic search | heuristic search | constraint-based search | constraint-based search | model-based reasoning | model-based reasoning | planning | planning | execution | execution | uncertainty | uncertainty | machine learning | machine learning | linear programming | linear programming | dynamic programming | dynamic programming | integer programming | integer programming | network optimization | network optimization | decision analysis | decision analysis | decision theoretic planning | decision theoretic planning | Markov decision process | Markov decision process | scheme | scheme | propositional logic | propositional logic | constraints | constraints | Markov processes | Markov processes | computational performance | computational performance | satisfaction | satisfaction | learning algorithms | learning algorithms | system state | system state | state | state | search treees | search treees | plan spaces | plan spaces | model theory | model theory | decision trees | decision trees | function approximators | function approximators | optimization algorithms | optimization algorithms | limitations | limitations | tradeoffs | tradeoffs | search and reasoning | search and reasoning | game tree search | game tree search | local stochastic search | local stochastic search | stochastic | stochastic | genetic algorithms | genetic algorithms | constraint satisfaction | constraint satisfaction | propositional inference | propositional inference | rule-based systems | rule-based systems | rule-based | rule-based | model-based diagnosis | model-based diagnosis | neural nets | neural nets | reinforcement learning | reinforcement learning | web-based | web-based | search trees | search trees

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.225J Transportation Flow Systems (MIT)

Description

Design, operation, and management of traffic flows over complex transportation networks are the foci of this course. It covers two major topics: traffic flow modeling and traffic flow operations. Sub-topics include deterministic and probabilistic models, elements of queuing theory, and traffic assignment. Concepts are illustrated through various applications and case studies. This is a half-term subject offered during the second half of the semester.

Subjects

transportation | transportation flow systems | traffic | traffic flow | networks | transportation networks | flow modeling | flow operations | deteministic models | probabilistic models | queuing theory | queues | traffic assignment | case studies | cumulative plots | airport runway capacity | runway capacity | road traffic | shortest paths | optimizations | highway control | ramp metering | simulation models | isolated signals | operations | operational problems | air traffic operation | air | road | component | 1.225 | ESD.205

License

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6.050J Information and Entropy (MIT) 6.050J Information and Entropy (MIT)

Description

6.050J / 2.110J presents the unified theory of information with applications to computing, communications, thermodynamics, and other sciences. It covers digital signals and streams, codes, compression, noise, and probability, reversible and irreversible operations, information in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, the Second Law of Thermodynamics, and quantum computation. Designed for MIT freshmen as an elective, this course has been jointly developed by MIT's Departments of Electrical Engineering and Computer Science and Mechanical Engineering. There is no known course similar to 6.050J / 2.110J offered at any other university.  6.050J / 2.110J presents the unified theory of information with applications to computing, communications, thermodynamics, and other sciences. It covers digital signals and streams, codes, compression, noise, and probability, reversible and irreversible operations, information in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, the Second Law of Thermodynamics, and quantum computation. Designed for MIT freshmen as an elective, this course has been jointly developed by MIT's Departments of Electrical Engineering and Computer Science and Mechanical Engineering. There is no known course similar to 6.050J / 2.110J offered at any other university. 

Subjects

information and entropy | information and entropy | computing | computing | communications | communications | thermodynamics | thermodynamics | digital signals and streams | digital signals and streams | codes | codes | compression | compression | noise | noise | probability | probability | reversible operations | reversible operations | irreversible operations | irreversible operations | information in biological systems | information in biological systems | channel capacity | channel capacity | aximum-entropy formalism | aximum-entropy formalism | thermodynamic equilibrium | thermodynamic equilibrium | temperature | temperature | second law of thermodynamics quantum computation | second law of thermodynamics quantum computation | maximum-entropy formalism | maximum-entropy formalism | second law of thermodynamics | second law of thermodynamics | quantum computation | quantum computation | biological systems | biological systems | unified theory of information | unified theory of information | digital signals | digital signals | digital streams | digital streams | bits | bits | errors | errors | processes | processes | inference | inference | maximum entropy | maximum entropy | physical systems | physical systems | energy | energy | quantum information | quantum information | 6.050 | 6.050 | 2.110 | 2.110

License

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Transatlantic security relations Transatlantic security relations

Description

This is a module framework. It can be viewed online or downloaded as a zip file. As As taught Autumn Semester 2010. The module will investigate some of the key issues that have characterised transatlantic security cooperation since 1990. The module will focus on issues that relate to the security of the European continent as well as to matters of global concern. Educational Aims This module aims to: Give students an understanding of the development in US-European security relations since 1990. An awareness of the post-Cold War debates surrounding security issues both inside and outside of Europe. Develop a subject specific knowledge of transatlantic security relations. Encourage students to read widely in the literature on transatlantic relations. Enable students to critically This is a module framework. It can be viewed online or downloaded as a zip file. As As taught Autumn Semester 2010. The module will investigate some of the key issues that have characterised transatlantic security cooperation since 1990. The module will focus on issues that relate to the security of the European continent as well as to matters of global concern. Educational Aims This module aims to: Give students an understanding of the development in US-European security relations since 1990. An awareness of the post-Cold War debates surrounding security issues both inside and outside of Europe. Develop a subject specific knowledge of transatlantic security relations. Encourage students to read widely in the literature on transatlantic relations. Enable students to critically

Subjects

UNow | UNow | transatlantic security cooperation | transatlantic security cooperation | US-European security relations | US-European security relations | post-Cold War debates | post-Cold War debates | ukoer | ukoer | Module Code:M13018 | Module Code:M13018 | The Transformation of NATO | The Transformation of NATO | Developing a European Defence Identity | Developing a European Defence Identity | Transatlantic Cooperation in the ‘War Against Terrorism’ | Transatlantic Cooperation in the ‘War Against Terrorism’ | Nuclear Proliferation and Counter-Proliferation: North Korea | Nuclear Proliferation and Counter-Proliferation: North Korea | ‘States of Concern’ | ‘States of Concern’

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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